Evidence map›Paper›PMID 31557151›Full record

ArticlePLoS computational biology2019

Invariant neural responses for sensory categories revealed by the time-varying information for communication calls.

Julie E Elie, Frédéric E Theunissen

Abstract read
In one paragraph

Article in PLoS computational biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. A researcher's guide to the comparative assessment of vocal production learning.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2021
    Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Julie E ElieHelen Wills Neuroscience Institute, University of California Berkeley, Berkeley, California, United States of America.ORCID 0000-0002-7993-0264
Frédéric E TheunissenHelen Wills Neuroscience Institute, University of California Berkeley, Berkeley, California, United States of America.

Funding

Auditory Circuits for Interpreting Vocal Communication SignalsR01DC018321 · NIDCD · UNIVERSITY OF CALIFORNIA BERKELEY · PI Frederic E. THEUNISSEN · 2020 to 2026
$2.5M
CRCNS: Hierarchical Computations for Vocal Communication.R01DC016783 · NIDCD · UNIVERSITY OF CALIFORNIA BERKELEY · PI THEUNISSEN, FREDERIC E. · 2017 to 2019
$602k
NIDCD NIH HHS R01 DC016783NIDCD NIH HHS R01 DC018321
6 · The paper itself

Abstract

Although information theoretic approaches have been used extensively in the analysis of the neural code, they have yet to be used to describe how information is accumulated in time while sensory systems are categorizing dynamic sensory stimuli such as speech sounds or visual objects. Here, we present a novel method to estimate the cumulative information for stimuli or categories. We further define a time-varying categorical information index that, by comparing the information obtained for stimuli versus categories of these same stimuli, quantifies invariant neural representations. We use these methods to investigate the dynamic properties of avian cortical auditory neurons recorded in zebra finches that were listening to a large set of call stimuli sampled from the complete vocal repertoire of this species. We found that the time-varying rates carry 5 times more information than the mean firing rates even in the first 100 ms. We also found that cumulative information has slow time constants (100-600 ms) relative to the typical integration time of single neurons, reflecting the fact that the behaviorally informative features of auditory objects are time-varying sound patterns. When we correlated firing rates and information values, we found that average information correlates with average firing rate but that higher-rates found at the onset response yielded similar information values as the lower-rates found in the sustained response: the onset and sustained response of avian cortical auditory neurons provide similar levels of independent information about call identity and call-type. Finally, our information measures allowed us to rigorously define categorical neurons; these categorical neurons show a high degree of invariance for vocalizations within a call-type. Peak invariance is found around 150 ms after stimulus onset. Surprisingly, call-type invariant neurons were found in both primary and secondary avian auditory areas.

Indexed as

Auditory CortexModels, NeurologicalAcoustic StimulationAnimalsComputational BiologyFemaleFinchesMaleNeuronsVocalization, Animal

Identifiers

PMID31557151
PMCPMC6762074

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.